Fatemeh Nosrat
1 month ago
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Fully Funded PhD Opportunity in Operations Research and Optimization for Healthcare Applications University of Florida in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD opportunity starting Spring 2027 or Fall 2027.
Country
United States
University
University of Florida

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About this position
Fatemeh Nosrat, Assistant Professor in the Department of Industrial and Systems Engineering at the University of Florida, is advertising a fully funded PhD opportunity for Spring 2027/Fall 2027.
The position is in operations research and optimization, with applications in healthcare. The post highlights related interests in mathematical analysis, real analysis, stochastic modeling, statistical learning, and machine learning methods such as tree-based methods, neural networks, and reinforcement learning.
Eligibility highlights: applicants should have B.S./B.A. and M.S./M.A. degrees in operations research, mathematics, industrial engineering, or related fields, with a GPA of 3.75 or higher. Strong motivation, research commitment, attention to detail, teamwork, communication skills, and proficiency in Python or MATLAB are required. Research experience, publications, a completed master’s degree, and U.S. residency are preferred.
Funding: the post states the PhD is fully funded. No deadline is given.
How to apply: email the supervisor directly at [email protected] with the subject line “Fall 2027 PhD Position.” Include a 50-word self-introduction, CV, GRE/TOEFL scores if available, unofficial transcripts, and work samples/publication examples.
Funding details
Fully funded PhD opportunity starting Spring 2027 or Fall 2027.
What's required
Applicants should have B.S./B.A. and M.S./M.A. degrees in operations research, mathematics, industrial engineering, or related fields, with a GPA of 3.75 or higher. Strong motivation, commitment to research, attention to detail, strong work ethic, excellent communication and teamwork skills are required. Candidates should have solid knowledge of or strong interest in operations research, optimization, mathematical analysis, real analysis, stochastic modeling, and statistical learning, with strong grades in these courses. Knowledge of or interest in machine learning methods such as tree-based methods, neural networks, and reinforcement learning is preferred, along with proficiency in Python or MATLAB. Research experience, journal publications, a completed master's degree, and experience in operations research and optimization are preferred; U.S. residency is also preferred.
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